Basheer, Z., Algamal, Z. (2020). Smoothing parameter selection in Nadaraya-Watson kernel nonparametric regression using nature-inspired algorithm optimization. Adab Al-Kufa, 17(32), 62-75. doi: 10.33899/iqjoss.2020.167389
Zinah Ameer Basheer; Zakariya Yahya Algamal. "Smoothing parameter selection in Nadaraya-Watson kernel nonparametric regression using nature-inspired algorithm optimization". Adab Al-Kufa, 17, 32, 2020, 62-75. doi: 10.33899/iqjoss.2020.167389
Basheer, Z., Algamal, Z. (2020). 'Smoothing parameter selection in Nadaraya-Watson kernel nonparametric regression using nature-inspired algorithm optimization', Adab Al-Kufa, 17(32), pp. 62-75. doi: 10.33899/iqjoss.2020.167389
Basheer, Z., Algamal, Z. Smoothing parameter selection in Nadaraya-Watson kernel nonparametric regression using nature-inspired algorithm optimization. Adab Al-Kufa, 2020; 17(32): 62-75. doi: 10.33899/iqjoss.2020.167389

Smoothing parameter selection in Nadaraya-Watson kernel nonparametric regression using nature-inspired algorithm optimization

IRAQI JOURNAL OF STATISTICAL SCIENCES
Article 6, Volume 17, Issue 32, Autumn 2020, Page 62-75  XML PDF (465 K)
Document Type: Research Paper
DOI: 10.33899/iqjoss.2020.167389
Authors
Zinah Ameer Basheer 1; Zakariya Yahya Algamal2
1Department of Statistics and Informatics, University of Mosul, Mosul, Iraq
2Dept. of Statistics and Informatics/ college of computer sciences and mathematics/ University of Mosul, Mosul, iraq
Abstract
In the context of Nadaraya-Watson kernel nonparametric regression, the curve estimation is fully depending on the smoothing parameter. At this point, the nature-inspired algorithms can be used as an alternative tool to find the optimal selection. In this paper, a firefly optimization algorithm method is proposed to choose the smoothing parameter in Nadaraya-Watson kernel nonparametric regression. The proposed method will efficiently help to find the best smoothing parameter with a high prediction. The proposed method is compared with four famous methods. The experimental results comprehensively demonstrate the superiority of the proposed method in terms of prediction capability.
 
Keywords
Nadaraya-Watson estimator; firefly optimization algorithm; smoothing parameter selection
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